{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 在Minist数据集上进行tNSE降维可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#导入必要的工具包\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#读取训练数据和测试数据\n",
    "train = pd.read_csv('./data/MNIST_train.csv')\n",
    "#test = pd.read_csv('./data/MNIST_test.csv')\n",
    "\n",
    "y_train = train['label']\n",
    "X_train = train.drop(\"label\",axis=1)\n",
    "#X_test = test\n",
    "\n",
    "#X  = pd.concat((X_train, X_test), axis=0)\n",
    "X = X_train.iloc[0:5000,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pixel0</th>\n",
       "      <th>pixel1</th>\n",
       "      <th>pixel2</th>\n",
       "      <th>pixel3</th>\n",
       "      <th>pixel4</th>\n",
       "      <th>pixel5</th>\n",
       "      <th>pixel6</th>\n",
       "      <th>pixel7</th>\n",
       "      <th>pixel8</th>\n",
       "      <th>pixel9</th>\n",
       "      <th>...</th>\n",
       "      <th>pixel774</th>\n",
       "      <th>pixel775</th>\n",
       "      <th>pixel776</th>\n",
       "      <th>pixel777</th>\n",
       "      <th>pixel778</th>\n",
       "      <th>pixel779</th>\n",
       "      <th>pixel780</th>\n",
       "      <th>pixel781</th>\n",
       "      <th>pixel782</th>\n",
       "      <th>pixel783</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 784 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   pixel0  pixel1  pixel2  pixel3  pixel4  pixel5  pixel6  pixel7  pixel8  \\\n",
       "0       0       0       0       0       0       0       0       0       0   \n",
       "1       0       0       0       0       0       0       0       0       0   \n",
       "2       0       0       0       0       0       0       0       0       0   \n",
       "3       0       0       0       0       0       0       0       0       0   \n",
       "4       0       0       0       0       0       0       0       0       0   \n",
       "\n",
       "   pixel9    ...     pixel774  pixel775  pixel776  pixel777  pixel778  \\\n",
       "0       0    ...            0         0         0         0         0   \n",
       "1       0    ...            0         0         0         0         0   \n",
       "2       0    ...            0         0         0         0         0   \n",
       "3       0    ...            0         0         0         0         0   \n",
       "4       0    ...            0         0         0         0         0   \n",
       "\n",
       "   pixel779  pixel780  pixel781  pixel782  pixel783  \n",
       "0         0         0         0         0         0  \n",
       "1         0         0         0         0         0  \n",
       "2         0         0         0         0         0  \n",
       "3         0         0         0         0         0  \n",
       "4         0         0         0         0         0  \n",
       "\n",
       "[5 rows x 784 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#将像素值[0,255]  --> [0,1]\n",
    "X = X / 255.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the shape of train_image: (5000, 784)\n"
     ]
    }
   ],
   "source": [
    "# 原始输入的特征维数和样本数目\n",
    "print('the shape of train_image: {}'.format(X.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 一个超参数对应的tNSE降维后的结果\n",
    "def tSNE(one_perplexity, X):\n",
    "    start = time.time()\n",
    "    \n",
    "    tsne = TSNE(n_components=2, perplexity = one_perplexity, random_state=0)\n",
    "    print(\"TSNE begin with perplexity: {}\".format(one_perplexity))\n",
    "    \n",
    "    # 模型训练 \n",
    "    X_tsne = tsne.fit_transform(X)\n",
    "    \n",
    "    end = time.time()\n",
    "    print ( \"time elaps:{}\".format(int(end-start)))\n",
    "    return X_tsne"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_embedding(data, label, title):\n",
    "    x_min, x_max = np.min(data, 0), np.max(data, 0)\n",
    "    data = (data - x_min) / (x_max - x_min)\n",
    "\n",
    "    fig = plt.figure()\n",
    "    ax = plt.subplot(111)\n",
    "    for i in range(data.shape[0]):\n",
    "        plt.text(data[i, 0], data[i, 1], str(label[i]),\n",
    "                 color=plt.cm.Set1(label[i] / 10.),\n",
    "                 fontdict={'weight': 'bold', 'size': 9})\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    plt.title(title)\n",
    "    return fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TSNE begin with perplexity: 30\n",
      "time elaps:145\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "global name 'plt' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-16-41deab68fa06>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mn\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mn_s\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0mX_tsne\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtSNE\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m     \u001b[0mplot_embedding\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_tsne\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"t-SNE embedding of the digits\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-15-b36ea267c6d9>\u001b[0m in \u001b[0;36mplot_embedding\u001b[0;34m(data, label, title)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mx_min\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mx_max\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mx_min\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m     \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m     \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m111\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: global name 'plt' is not defined"
     ]
    }
   ],
   "source": [
    "# 设置超参数（perplexity）搜索范围\n",
    "n_s = range(30, 40, 10)\n",
    "for n in n_s:\n",
    "    X_tsne = tSNE(n, X)\n",
    "    #plot_embedding(X_tsne,y_train,\"t-SNE embedding of the digits\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWcAAAD7CAYAAAC2a1UBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115f56890>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_embedding(X_tsne,y_train,\"t-SNE embedding of the digits\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 一个超参数对应的tNSE降维后的结果\n",
    "def tSNE_PCA(one_perplexity, X):\n",
    "    start = time.time()\n",
    "    \n",
    "    tsne = TSNE(n_components=2, perplexity = one_perplexity, init='pca', random_state=0)\n",
    "    print(\"TSNE begin with perplexity: {}\".format(one_perplexity))\n",
    "    \n",
    "    # 模型训练 \n",
    "    X_tsne = tsne.fit_transform(X)\n",
    "    \n",
    "    end = time.time()\n",
    "    print ( \"time elaps:{}\".format(int(end-start)))\n",
    "    return X_tsne"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TSNE begin with perplexity: 30\n",
      "time elaps:148\n"
     ]
    }
   ],
   "source": [
    "# 设置超参数（perplexity）搜索范围\n",
    "n_s = range(30, 40, 10)\n",
    "for n in n_s:\n",
    "    X_tsne = tSNE_PCA(n, X)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWYAAAD7CAYAAABZqT4/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nU3+nx4cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a20f73b90>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_embedding(X_tsne,y_train,\"t-SNE embedding of the PCA digits\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
